Topographic depressions in Digital Elevation Models (DEMs) have been traditionally seen as a feature to be removed no outward flow direction is available route and accumulate flows. Therefore, simplify hydrologic analysis for practical purposes, the common approach treated all DEMs artefacts completely them DEMs’ data preprocessing prior modelling. However, effects of depression filling on both...

Since 2002, within the framework of the Cetemps Centre of Excellence at the University of L’Aquila, a distributed grid-based hydrological model (CHYM) has been developed to provide a general purpose model for operational flood warning activity. This paper presents two new cellular automata (CA) algorithms used respectively for drainage network extraction and rainfall data assimilation. The firs...

One of the problems of existing irrigation networks is seepage phenomena. Seepage problem and its control in irrigation channels is one of the most important issues in the design, construction, maintenance and operation of these channels. In this study, simulated the rate of seepage and phreatic lines in the Mianab irrigation and drainage channels located in the Karun basin using mathematical t...

Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-...

A major emphasis in geomorphology over the past six decades has been on the development of quantitative physiographic methods to describe the evolution and behavior of surface-drainage networks (Horton 1945; Leopold & Maddock 1953; Leopold & Wolman 1957; Abrahams 1984). These parameters have been used in various studies of geomorphology and surface-water hydrology, such as flood characteristics...

River networks evolve as migrating drainage divides reshape river basins and change network topology by capture of river channels. We demonstrate that a characteristic metric of river network geometry gauges the horizontal motion of drainage divides. Assessing this metric throughout a landscape maps the dynamic states of entire river networks, revealing diverse conditions: Drainage divides in t...

To reduce the impact of stormwater pollution on the environment, operators in charge of urban drainage systems and waste water treatment plants need real-time predictions of pollutant concentrations during rainfall events. In this paper, this problem is addressed using nonlinear recurrent neural networks, which are used to simulate the rainfall-runo transformation, as well as the production and...